Social Science Research Scholar (1-Year Fixed Term) (Remote Opportunity)

The Division of Primary Care and Population Health seeks to serve our community through caring, learning, and innovation for the whole person through all stages of life. While engaged in practice and teaching, our faculty are dedicated to establishing new knowledge as the basis for future practice and prevention, and to the greatest extent possible applying that knowledge to improve care for all and reduce health disparities.

About the role

The research scholar will take a leadership role in Pascal Geldsetzer’s research group, a “dry lab” focused on quantitative analyses of existing, and often publicly accessible, datasets. The group works on a wide variety of research topics, with current foci being the causal effect of shingles vaccination on cognition (study link), the health effects of sodium intake, and population health issues more generally. Key data sources include large population-based cohort studies, electronic health record data, mortality data, and other large health-related administrative datasets. The group also works on randomized intervention studies in low- and middle-income country settings and the re-analysis of clinical trial data. The researcher will be expected to publish in high-impact peer-reviewed journals.

This is a remote-eligible, 1-year fixed-term position with the possibility of renewal based on business needs. We hire on an ongoing basis with no specific application deadline.

Responsibilities

• Carrying out data analyses
• Supervising data analyses led by graduate students and postdoctoral fellows
• Writing manuscripts for publication in scientific journals
• Mentoring and advising junior researchers
• Assisting with, and leading the writing of, grant applications for research funding
• Communicating with research funders, data providers, and project administrative staff

Requirements

• Doctoral degree with quantitative training or research experience
• Training and experience in quasi-experimental techniques (regression discontinuity, difference-in-differences, interrupted time-series, etc.)
• A background in health-related research is a plus but not required

Skills

• Strong coding skills in R, Stata, or other statistical software package
• Strong writing and analytical skills
• Ability to prioritize workload